1) Are you aligned with the native user’s mindset?
Users of native advertising are a little bit different: when they click they are after new content or exploring a website because they’re ready to discover something new. That’s why, successful content in native advertising often explores new concepts, entertains, or is informative.
2) Are you using enough pictures and videos?
These are the only type of content that look like they have a future in native.
Consumers are becoming increasingly visual and native ads have the ability to cater to that perfectly.
3) Are you segmenting your audience?
This allows the ads to go to the right place and at the right time! It qualifies consumers according to what they are actually interested in. Know your audience and optimise the results that data gives you. That way when you narrow down the focus you are pinpointing the right segments.
4) Have you aligned your headline and keywords…
…To the content in the ad? In this way you are sure fit in seamlessly with the context you are placed in. Like everything advertising- and content-related, performance will depend on your content and your audience.
5) How are you targeting?
Geo-location is the way forward. Local is key when it comes to certain types of business where geographical relevance is everything when it comes to the success of an advert.
Display advertising is a type of advertising that uses text, animations, photos or videos to target users with a commercial message.
There are 3 main types of display advertising campaigns:
Retargeting, also known as behavioural marketing relies on custom segmentations in order to deliver relevant ads to your audiences.
Acquisition ad campaigns can be very expensive and not give great results: a lot of banner ads are competing for the same space with highly retargeted ads that have a stronger chance of converting.
Brand awareness focuses on reach as opposed to direct conversions. The aim here is to reach as many people as possible and make sure they get interested in the brand/product advertised. These campaigns need to run for longer if they are going to be effective
Relevant ads for everyone are a double winner: they brings pros to both the consumers and the brand.
Distributing a relevant piece of information to the right person at the right time means the user is more likely to discover that they are interested in something they perhaps hadn’t thought of before- it widens their horizons. At the same time the brand has a higher chance of making a sale.
What is contextual advertising? Contextual advertising (also known as contextual marketing) is a form of targeted advertising, generally appearing on websites and in apps.
Different data for different brands Various elements can be considered for contextual advertising. Different brands will be interested in different data: for instance, location could make all the difference for a hotel or restaurant. • Language • Location • Weather • Time of day • Device • Preferred channel • Past behaviour • Purchase history
Even holding the above information, brands cannot be as accurate as they would like to be in how they organise their marketing strategy. In fact, it doesn’t help that users carry out a lot of their research outside of the brand’s area of impact. So, though traditional marketing campaigns are still vitally important, the other aspects of this journey give brands an opportunity to continue to have a powerful input.
What are the obstacles to contextual marketing? 1) The first obstacle to employing targeted ads is a lack of usable data. While we live in an age of big data, problems exist in utilising it in order to find out relevant information. 2) Technology: Connecting different data sets is partly a problem with existing technology.
Solution: “acting with context” By employing information regarding sales, CRM data, web data, reviews & feedback, and social data, you can build up a picture that will carry your campaign forward for any brand. For example, if you are going to target a particular profession on LinkedIn, your “profile” for that sector can provide information on how best to connect with that segment.
Machine learning systems are made up of algorithms that are intelligent enough to comprehend data in a way that leads to a “diagnosis”, prediction and organisation.
The more data they are exposed to the more they are able to improve. They can also teach themselves to become smarter over time as they are increasingly exposed to data.
Machine learning allows us to “imitate” the mental process of the buyer “optimising” the choices just like a normal buyer would. This system has the ability to learn over time and generate more accurate results applying its “knowledge” to different campaigns, making those associations that can be challenging for the human brain to pick up on its own.
Machine learning is now everywhere when it comes to digital advertising and is being applied to different aspects of it:
Data measurement (What is Tom’s pattern of algorithms?)
Prediction of device association (Based on IP info is that Tom’s ipad AND iphone?)
Intent prediction (The likelihood that Tom will buy those new shoes in the next month or so)
Response prediction on an ad impression level (Will Tom click on the ad, or view the whole video?)
Fraud detection (Is Tom real?)
Audience insights (Can I extract some of Tom’s behavioural patterns for instance to inform creative design?)
The next steps for machine learning Machine learning will only improve as the years go by. As technology advances, computers will be able to make more adept correlations, and as we move into an ever more mobile world, advertisers need to rely more and more on the multiple platforms in order to deliver their message.
Personalisation, in the form of digital voice assistants, is considered the future of contextual advertising.
These forms of “communication” allow users to search for things they are interested in with their voice, without consulting a screen as they would have done in the past. As AI, artificial intelligence, becomes increasingly accessible to consumers technology seeks to become a more integral part of our lives and not a “separate” entity that we physically consult. This switch to less device heavy marketing will constitute a monumental shift in advertising. AI is now storing incredible amounts of data that is being integrated more and more with consumer technology, especially voice assistants. The information that has been accumulated for years is now being utilised in the consumer’s present day.
Contextualisation is already built on the premise that proposing ads that are relevant are more welcome and unobtrusive, which means that on any given platform you will most likely only see what is relevant to you as a consumer. So personalisation must follow this example in order to create the story telling environment that is so crucial in order to generate respect for a brand. No one wants to see an add for their favourite shoe brand, however loved (!), when they are viewing a page on a piece of news that is communicating the latest on a natural disaster, for instance.
Personalisation must go hand in hand with contextualisation, in this sense, in order to be credible and trustworthy. Knowing when and where is appropriate to provide the customer with knowledge about those new shoes is key to the ad’s success.
“When you keep seeing adverts on the latest BMW but can’t drive, it has no relevance and as a consumer it’s a waste of time that can be disruptive” says Co-founder of Vertis Media, Laura Cioffi.
Social media, dynamic and in constant flux, has become an increasingly crucial part of digital communications strategy.
2019 has seen a 9% growth of social media users compared to last year, bringing the figures to 3.48 billion worldwide (source).
However, social media engagement is in decline even though these networks are displaying more business ads than ever before. Why? Because users are ignoring ads that “interrupt” their social media “journey”. So, while the impact that social media has may be decreasing the number of users is increasing. In that case, what is social media being used for now?
Customers, in fact, are still depending on social platforms to interact with businesses and gather “knowledge”. So, based on this information, how about reaching those customers in a way that is really effective?
With this in mind, it is time to reach customers across social landscapes in different ways: by making sure that the content distributed is contextual. In this landscape of ever-growing decline in levels of interest it’s time to reclaim consumer interest with relevance.
Vertis Media does just this by engaging with customers with high quality information of what represents their consumer journey.
In contextual advertising the ads themselves occur based on the identity of the user and the content displayed and…it’s on the up, as users want the least level of interruption during their time browsing.
Read on if you are interested in know our top 10 facts and trends about contextual advertising.
1.Advances in Matching up relevant data to customers- AI in advertising The algorithms used are under constant development in order to improve how accurately ads match the user’s preferences. These past few years have seen a huge leap in targeted advertising, where the message is made to “adapt” to the viewer. The quest for advertisers, for a long time now, has been to make sure that the information they are putting out there is really relevant. Artificial intelligence is a way of doing this: it gets rid of the detective work in targeted advertising. With the ability to dip into a pool of relevant information regarding its users, advertisers can make sure that “useless” information, that can go against a brand’s positioning, gets stopped in its tracks. This means two very important things for Vertis Media‘s dedication to storytelling: relevance and cost effectiveness.
2.Content continues to reign When engaging with a brand, users have come to expect a wealth of information on more fronts: videos, social media posts, blogs and other types of authentic content. Everyone has caught on to this “trend” which means that in order to stand out, content has had to be more and more interesting. AI can contribute to building a better content strategy. By “improving” the target audiences, businesses can more effectively narrow down the focus of their stories, blog posts, videos and other content pieces to engage their users more effectively.
3.GDPR The “right to be forgotten” that GDPR now implies means that businesses can no longer collect information about people without their consent. Explicit consent. Personalised data is essentially the heart of a targeted ad campaign, so what to do? The correct answer is contextual advertising! How? By finding out the characteristics of a target audience based on the web pages visited. General data about the interests of visitors to that page provides the context needed of how to make information attractive to those users.
4.Video, video & more video Video is becoming the most important advertising channel and this is set to rise in the future. And what better way to involve audiences than to enable them to participate in creating those videos. The creativity of recent generations could take brands far by getting them on board with the creative process of sharing information.
5.Smart TVs As consumers are moving away from linear TV and toward a type of smart TV viewing, advertisers will also, aligning themselves with the new on demand viewing experiences.
6.“Voice” 2019 is likely to see brands that will allow for organic use of the devices, with ads that direct consumers to specific products or services. To reach audiences, brands are using new and innovative ways to get the message across.
7.Personalisation & Contextual Advertising Ways are being found to ensure the messages displayed to the users are “tailormade”. Ads in the future will also be able to gather the info necessary to provide the user with options that are relevant through personalisation.
8.“Billboard targeting” & Contextual Advertising Businesses are planning to give their billboards “eyes” that can scan peoples’ faces who are passing by. The software will be able to pick up on the number of people who go past and the length of time they looked at it. For the past few years, Google has been testing programmatic ad technology, normally in use for the web, for billboards. Google’s access to extensive information on mobile location data means it can target digital billboards in ways that competitors like Facebook can’t.
9.Customer participation & Contextual Advertising User generated media will be used through audience participation. Companies will aim to gain more information from their users in order to involve them. In this way, consumers will be interested in those messages that are more relevant to them.
10.Mobile Augmented Reality (AR) Mobile AR saw a leap from 100 million to 250 million users. A BRP report showed that 48% of consumers were more likely to buy products from retailers that were also providers of AR experiences.